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Ziqi (Eric) Zhou

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Ph.D. student at Golisano College of Computing and Information Sciences, Rochester Institute of Technology, United States

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Biography

Hello! I am Eric, an incoming Ph.D. student at Golisano College of Computing and Information Sciences, Rochester Institute of Technology, under the advising of Prof. Zhiqiang Tao.

Prior to joining RIT, I spent one year in University of California, Santa Cruz as a research assistant. I obtained my M.S. degree in computer science from Nanjing University advised by Prof. Yinghuan Shi in June 2023. I also received my B.Eng. degree in computer science in June 2020 from Nanjing Normal University, fortunately working with Prof. Wanqi Yang.

I am interested in computer vision, multi-modal large language models and generative AI.

News

  • 2024/07 One paper is accepted by ECCV 2024.
  • 2024/06 Joining Bosch AI as a research intern, working with Dr. Chaithanya Kumar Mummadi and Dr. Qiu Chen.
  • 2024/04 I will join Rochester Institute of Technology as a Ph.D. student in August 2024, supervised by Prof. Zhiqiang Tao.
  • 2023/06 Awarded the Outstanding Graduate Student in Nanjing University.
  • 2022/10 Awarded the National Scholarship.
  • 2022/07 One paper is accepted by ECCV 2022.
  • 2022/06 Joining Sensetime as a research intern, working with Wei Li.
  • 2022/03 One paper is accepted by CVPR 2022.

Education

Selected Publications

"*" indicates the equal contribution

  • A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties.
    Junfei Xiao, Ziqi Zhou, Wenxuan Li, Shiyi Lan, Jieru Mei, Zhiding Yu, Bingchen Zhao, Alan Yuille, Yuyin Zhou, Cihang Xie.
    European Conference on Computer Vision (ECCV), 2024.

  • Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration.
    Ziqi Zhou, Lei Qi, Yinghuan Shi.
    European Conference on Computer Vision (ECCV), 2022.

  • Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization.
    Ziqi Zhou, Lei Qi, Xin Yang, Dong Ni, Yinghuan Shi.
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

  • Deep symmetric adaptation network for cross-modality medical image segmentation.
    Xiaoting Han, Lei Qi, Qian Yu, Ziqi Zhou, Yefeng Zheng, Yinghuan Shi, Yang Gao.
    IEEE Transactions on Medical Imaging (TMI), 2021.

  • Cross-Modal Attention-Guided Convolutional Network for Multi-Modal Cardiac Segmentation.
    Ziqi Zhou*, Xinna Guo*, Wanqi Yang, Yinghuan Shi, Luping Zhou, Lei Wang, Ming Yang.
    Machine Learning in Medical Imaging @ MICCAI (MLMI), 2019.

Honors and Awards

  • Outstanding Graduate Student, Nanjing University, 2023.
  • Excellent Master Thesis (Nominee), CS Department, Nanjing University, 2023.
  • National Scholarship, Ministry of Education of P.R. China, 2022.
  • \(4^{th}\) Place, The 8th CCF BDCI Remote Sensing Image Segmentation, 10,000 RMB Bonus, 2020. 🔗
  • Outstanding Undergraduate Student Scholarship, Nanjing Normal University, 2017-2020

Services

Conference Reviewer

  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE International Conference on Computer Vision (ICCV)
  • European Conference on Computer Vision (ECCV)
  • Conference on Neural Information Processing Systems (NeurIPS)

Journal Reviewer

  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • IEEE Transactions on Medical Imaging (TMI)
  • IEEE Journal of Biomedical and Health Informatics (JBHI)